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PPSN
2000
Springer
13 years 8 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
ECMDAFA
2010
Springer
228views Hardware» more  ECMDAFA 2010»
13 years 7 months ago
Example-Based Sequence Diagrams to Colored Petri Nets Transformation Using Heuristic Search
Dynamic UML models like sequence diagrams (SD) lack sufficient formal semantics, making it difficult to build automated tools for their analysis, simulation and validation. A commo...
Marouane Kessentini, Arbi Bouchoucha, Houari A. Sa...
IJCSA
2007
110views more  IJCSA 2007»
13 years 4 months ago
Multiprocessor Scheduling Using Hybrid Particle Swarm Optimization with Dynamically Varying Inertia
The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. We have developed a new hybrid approximation algorithm. The...
S. N. Sivanandam, P. Visalakshi, A. Bhuvaneswari
IMA
2007
Springer
97views Cryptology» more  IMA 2007»
13 years 10 months ago
Non-linear Cryptanalysis Revisited: Heuristic Search for Approximations to S-Boxes
Non-linear cryptanalysis is a natural extension to Matsui’s linear cryptanalitic techniques in which linear approximations are replaced by nonlinear expressions. Non-linear appro...
Juan M. Estévez-Tapiador, John A. Clark, Ju...
IGIS
1994
156views GIS» more  IGIS 1994»
13 years 8 months ago
Optimizing Spatial Data Structures For Static Data
During the last decade various spatial data structures have been designed and compared against each other, all of them re ecting a dynamic situation with ongoing object insertion a...
Lukas Bachmann, Bernd-Uwe Pagel, Hans-Werner Six